code: def get_rotary_embedding(self, n, device):
      if self.pos_emb is not None and self.pos_emb.shape[-2] >= n:
          return self.pos_emb[:n]
  
      pos_emb = self.rotary_emb(n, device=device)
      self.register_buffer("position", pos_emb, persistent=False)
      return pos_emb
  
imports: import torch
  import torch.nn.functional
  from einops import rearrange
  from torch import matmul, nn
label_desc: Use image node_id 3 for calling the Attention obj's underlying member method code with example usage: obj.get_rotary_embedding(n, device) and returns: pos_emb, self